
Advanced Computing by Michael Bader
This proceedings volume collects review articles that summarize research conducted at the Munich Centre of Advanced Computing (MAC) from 2008 to 2012. The articles address the increasing gap between what should be possible in Computational Science and Engineering due to recent advances in algorithms, hardware, and networks, and what can actually be achieved in practice; they also examine novel computing architectures, where computation itself is a multifaceted process, with hardware awareness or ubiquitous parallelism due to many-core systems being just two of the challenges faced. Topics cover both the methodological aspects of advanced computing (algorithms, parallel computing, data exploration, software engineering) and cutting-edge applications from the fields of chemistry, the geosciences, civil and mechanical engineering, etc., reflecting the highly interdisciplinary nature of the Munich Centre of Advanced Computing.
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Numerical Analysis and Scientific Computing: an Anthology
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New Trends in Computational Engineering
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Software for Exascale Computing - SPPEXA 2016-2019
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2020+1
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BEM-based Finite Element Approaches on Polytopal Meshes
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27th International Meshing Roundtable
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Sparse Grids and Applications - Munich 2018
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Advanced Finite Element Methods with Applications
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Numerical Geometry, Grid Generation and Scientific Computing
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New Algorithms for Macromolecular Simulation
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Topics in Computational Wave Propagation
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Recent Developments in Domain Decomposition Methods
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Finite and Boundary Element Tearing and Interconnecting Solvers for Multiscale Problems
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Numerical Solution of Partial Differential Equations on Parallel Computers
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Computational Electromagnetics
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Challenges in Scientific Computing - CISC 2002
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Multiscale and Multiresolution Methods
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Interface and Transport Dynamics
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Frontiers in Numerical Analysis - Durham 2010
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Computational Methods in Transport: Verification and Validation
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Large-Scale PDE-Constrained Optimization
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Numerical Analysis of Multiscale Computations
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Meshfree Methods for Partial Differential Equations IV
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Computational Methods for Macromolecules: Challenges and Applications
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Complex Effects in Large Eddy Simulations
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Simulation and Visualization on the Grid
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Advanced Computational Methods in Science and Engineering
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Numerical Analysis of Multiscale Problems
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Numerical Methods in Computational Electrodynamics
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Multiscale Modelling and Simulation
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Spectral and High Order Methods for Partial Differential Equations - ICOSAHOM 2012
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Scientific Modeling and Simulations
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Uncertainty Quantification in Computational Fluid Dynamics
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Boundary and Interior Layers, Computational and Asymptotic Methods BAIL 2018
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Sparse Grid Quadrature in High Dimensions with Applications in Finance and Insurance
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Domain Decomposition Methods in Science and Engineering XIX
Michael Bader is a professor of computer science at Technische Universität München, where he directs the Leibniz Supercomputing Centre's research group on hardware-aware algorithms and software for high-performance computing. In his research and teaching, he focuses on the algorithmic issues that current computing platforms provide. Exploiting the locality qualities of space-filling curves for simulation tasks in science and engineering is a big part of his work.
| SKU | Unavailable |
| ISBN 13 | 9783642387616 |
| ISBN 10 | 3642387616 |
| Title | Advanced Computing |
| Author | Michael Bader |
| Series | Lecture Notes In Computational Science And Engineering |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer |
| Year published | 2013-10-09 |
| Number of pages | 240 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |




































